Application of meta-heuristic algorithms for training neural networks and deep learning architectures: A comprehensive review
M Kaveh, MS Mesgari - Neural Processing Letters, 2023 - Springer
The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …
and deep learning (DL) architectures is considered one of the most challenging machine …
Remote sensing big data for water environment monitoring: current status, challenges, and future prospects
J Chen, S Chen, R Fu, D Li, H Jiang, C Wang… - Earth's …, 2022 - Wiley Online Library
Accurate water extraction and quantitative estimation of water quality are two key and
challenging issues for remote sensing of water environment. Recent advances in remote …
challenging issues for remote sensing of water environment. Recent advances in remote …
A novel hunger games search optimization-based artificial neural network for predicting ground vibration intensity induced by mine blasting
H Nguyen, XN Bui - Natural Resources Research, 2021 - Springer
Innovation efforts in developing soft computing models (SCMs) of researchers and scholars
are significant in recent years, especially for problems in the mining industry. So far, many …
are significant in recent years, especially for problems in the mining industry. So far, many …
Proposing two novel hybrid intelligence models for forecasting copper price based on extreme learning machine and meta-heuristic algorithms
The focus of this study aims at developing two novel hybrid intelligence models for
forecasting copper prices in the future with high accuracy based on the extreme learning …
forecasting copper prices in the future with high accuracy based on the extreme learning …
Review of machine learning application in mine blasting
A Abd Elwahab, E Topal, HD Jang - Arabian Journal of Geosciences, 2023 - Springer
Mine blasting has adopted machine learning (ML) into its practices with the aims of
performance optimization, better decision-making process, and work safety. This study is …
performance optimization, better decision-making process, and work safety. This study is …
Application of artificial neural network (ANN) for prediction and optimization of blast-induced impacts
AY Al-Bakri, M Sazid - Mining, 2021 - mdpi.com
Drilling and blasting remain the preferred technique used for rock mass breaking in mining
and construction projects compared to other methods from an economic and productivity …
and construction projects compared to other methods from an economic and productivity …
Toward state-of-the-art techniques in predicting and controlling slope stability in open-pit mines based on limit equilibrium analysis, radial basis function neural …
This study aims to propose state-of-the-art techniques in predicting and controlling slope
stability in open-pit mines based on limit equilibrium analysis, artificial neural networks, and …
stability in open-pit mines based on limit equilibrium analysis, artificial neural networks, and …
Enhancing predictions of blast-induced ground vibration in open-pit mines: Comparing swarm-based optimization algorithms to optimize self-organizing neural …
The objective of this paper is to present a method for predicting blast-induced ground
vibration in open-pit mines that is based on the use of self-organizing neural networks …
vibration in open-pit mines that is based on the use of self-organizing neural networks …
Support vector regression optimized by black widow optimization algorithm combining with feature selection by MARS for mining blast vibration prediction
G Xu, X Wang - Measurement, 2023 - Elsevier
Ground vibration induced by mine blasting is the most significant adverse effect on nearby
residents and surroundings. Accurate prediction of blasting vibration using limited monitor …
residents and surroundings. Accurate prediction of blasting vibration using limited monitor …
Performance evaluation of nanotubular halloysites from weathered pegmatites in removing heavy metals from water through novel artificial intelligence-based models …
The efforts of this study aimed to evaluate the feasibility of the nanotubular halloysites in
weathered pegmatites (NaHWP) for removing heavy metals (ie, Cd 2+, Pb 2+) from water …
weathered pegmatites (NaHWP) for removing heavy metals (ie, Cd 2+, Pb 2+) from water …